47 MDS dimensions were retained, and the optimal number of clusters was 35. Retaining less or more dimensions may alter this number, as after a certain point extra dimensions only contribute noise to the analysis; this is a matter of investigation.

It is hardly practical to comment on all 35 clusters, so I will limit myself to a few observations:

Turks, Armenians, and Assyrians fall in cluster #1

Scandinavians, White Utahns, Germans, and some French fall in cluster #2

8 Greeks fall in cluster #4 and 2 in cluster #3. However, many of the ones who fall in #4 also have some non-trivial probability of falling in #3. Probabilities for all other clusters are less than 0.1%. All Project Greeks can write to me to learn their exact probabilities.

Of course, it should be noted that:

If two populations can be perfectly distinguished from each other, then there are genetic differences between them (they split from each other some time ago, they underwent different types of admixture, etc.) allowing the clustering algorithm to detect their differentiation

If two populations cannot be distinguished from each other, this does not mean that they are not indistinguishable in principle; it does mean, however that through either common ancestry or very similar patterns of admixture, they have become quite similar to each other in the Eurasian context.

If you are a Dodecad Project member (23andMe data) from one of the populations in italicsand are wondering which cluster you fall in, first check whether all individuals from your population fall in the same cluster, in which case you already know the answer.

Otherwise, you may write to me, with your DOD number, and I'll tell you.

Useful software

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